From: Jairo Cugliari <Jairo.Cugliari@univ-lyon2.fr>
Date: Tue, 13 Dec 2016 11:50:20 +0000 (+0100)
Subject: Lecture du code
X-Git-Url: https://git.auder.net/%7B%7B%20asset%28%27mixstore/images/css/DESCRIPTION?a=commitdiff_plain;h=b81706231c887d593a0eed89940427b577c57ff0;p=epclust.git

Lecture du code
---

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..783cd5b
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+*.swp
+
diff --git a/code/README b/code/README
index 67ce9a7..6a539af 100644
--- a/code/README
+++ b/code/README
@@ -1,15 +1,39 @@
-To compile source code :
+0) Download & compile Benjamin's specific library
+
+   git clone git@auder.net:cgds
+   cd cgds
+   bash makeMakefile.sh src
+   make src
+   sudo make install
+
+Make sure that the install destination is on the LD_LIBRARY_PATH environment variable.
+
+1) Compile source code for 1st stage clustering
 
    mkdir -p build/stage1/src
    cd build/stage1/src
    cmake ../../../stage1/src
    make
-   #repeat previous lines for stage 2
+
+2) #repeat previous lines for stage 2 ???
+
+
+NOTA: Need to have openmpi, mpich (compiler for mpi) libxml, and libgsl installed.
+
 
 Usage (stage 1) :
 
+Serialize input data using 
+
+   ppam.exe serialize inputfile_edf outputfile_edf 1 0 
+
+# 1 indicates data is by column
+# 0 means process all the rows
+
    mpirun -np nbProcess ppam.exe cluster ifilename nbSeriesInChunk nbClusters randomize p_for_dissims
 
+## ex. > mpirun -np 4 ./ppam.exe cluster ~/tmp/2009.bin 5000 200 1 2 
+
 Where :
    nbProcess = number of simultaneous processes
    ifilename = path to serialized dataset (read below)
@@ -18,6 +42,12 @@ Where :
    randomize = 1 to dispatch time-series at random. 0 to process them in order
    p_for_dissims = the 'p' of L_p distance used to compute dissimilarities
 
+
+The results are stored in ppamResult.xml (curves ids and ranks) while ppamFinalSeries.bin
+are the curves used in the last clustering step. The ranks in ppamResult.xml refer to the
+curves in ppamFinalSeries.bin
+
+
 Note : custom [de]serialization. Consider writing your own 
 in src/TimeSeries/ folder if you plan to test the package.